36 citations · 46 across the 3 of their papers we have counts for
4 papers
Multimodal Parameter-Efficient Few-Shot Class Incremental Learning
Marco D'Alessandro, Alberto Alonso, Enrique Calabrés +1
Few-Shot Class Incremental Learning (FSCIL) is a challenging continual learning task, where limited training examples are available during several learning sessions. To succeed in…
Amortized Bayesian model comparison with evidential deep learning
Stefan T. Radev, Marco D'Alessandro, Ulf K. Mertens +3
Comparing competing mathematical models of complex natural processes is a shared goal among many branches of science. The Bayesian probabilistic framework offers a principled way t…
A Bayesian brain model of adaptive behavior: An application to the Wisconsin Card Sorting Task
Marco D'Alessandro, Stefan T. Radev, Andreas Voss +1
Adaptive behavior emerges through a dynamic interaction between cognitive agents and changing environmental demands. The investigation of information processing underlying adaptive…
A state space approach to dynamic modeling of mouse-tracking data
Antonio Calcagnì, Luigi Lombardi, Marco D'Alessandro
Mouse-tracking recording techniques are becoming very attractive in experimental psychology. They provide an effective means of enhancing the measurement of some real-time cognitiv…